Efficiency assessment methodology complex solutions for industrial automation

The article discusses the problems of introducing CAD systems integrated into complex automated production systems (PLM solutions). One of the reasons for the failures and low efficiency of projects for the implementation of complex automated systems is the lack of criteria for assessing their effectiveness, necessary for the organization of development management. A system of formalized indicators is proposed that allows for analysis and multicriteria optimization of the processes of creating integrated CAD systems. Four groups of indicators have been identified and defined: Functional indicators, presented in the form of tags, reflecting certain achievements in expanding the functionality of the system, increasing the completeness of system procedures, improving the quality of workflows and processed information; Financial and economic indicators, taking into account the customer’s requirements for the costs and timing of the project; Socio-economic criteria demonstrating improvements in the conditions for the activities of the personnel of the automated system; Indicators of the complexity of the solution associated with the level of automation of both design and production stages. The results of a study of projects of complex automation of the leading enterprises of the aircraft and automotive industry of the Samara region are presented. The introduction of a software and methodological complex made it possible to increase the level of automation of dispatching processes and operational planning of production, interconnected with the design and technological design. Due to this, the volume of work in progress has been significantly reduced and equipment changeovers have been minimized. In general, it can be stated that the introduction of a multi-criteria monitoring methodology at the design and production stages of the life cycle of mechanical engineering products can increase the efficiency of the development and implementation of complex automated systems.